小样本弱监督网络安全异常检测（英文版）

英文标题：Few-shot Weakly-supervised Cybersecurity Anomaly Detection中文摘要：本文提出了一个增强后的少样本弱监督深度学习异常检测框架，结合了数据增强、表示学习和序回归方法，并在三个基准数据集上进行了评估和展示其性能。英文摘要：With increased reliance on Internet based technologies, cyberattackscompromising users' sensitive data are becoming more prevalent. The scale andfrequency of these attacks are escalating rapidly, affecting systems anddevices connected to the Internet. The traditional defense mechanisms may notbe sufficiently equipped to handle the complex and ever-changing